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Automated Amygdala Surface Modeling Pipeline

Automated Amygdala Surface Modeling Pipeline. Moo K. Chung Department of Biostatistics and Medical Informatics Waisman Laboratory for Brain Imaging and Behavior University of Wisconsin-Madison www.stat.wisc.edu/~mchung/research/amygdala*.

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Automated Amygdala Surface Modeling Pipeline

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  1. Automated Amygdala Surface Modeling Pipeline Moo K. Chung Department of Biostatistics and Medical Informatics Waisman Laboratory for Brain Imaging and Behavior University of Wisconsin-Madison www.stat.wisc.edu/~mchung/research/amygdala* *Matlab-based image processing/analysis/visualization tools

  2. Acknowledgments Brendon, M. Nacewicz, Anqi Qiu, Shubing Wang, Kim M. Dalton, Jamie Hanson, Seth Pollak, Richard J. Davidson Waisman laboratory for brain imaging and behavior University of Wisconsin-Madison

  3. Amygdala manual segmentation Left amygdala of subject 001 FreeSurfer can be used to automatically segment amygdala and hippocampus. Publications coming out in NeuroImage using FreeSurfer segmentation.

  4. There is no volume difference in autism vs. control (study 1 (n=24) + study 3 (n=23) combined): Left (p=0.64) Right (p=0.81) Can we still have localized difference? Traditional Volumetry

  5. Step13D model of left amygdala of subject 001 top Orientation bottom back left front middle

  6. 3D model of left amygdala of subject 001 top top middle bottom left bottom left middle front front back back

  7. Step 2 Spherical coordinate system for amygdala surface Analysis & surface registration will be done on a sphere and the result will be back projected onto the average amygdala surface.

  8. Hotelling’s T-square test on group difference Left Right front back middle left right middle Origami representation

  9. Keith Worsley’s SurfStat MATLAB package Testing Group difference controlling for Brain size and Age slm = SurfStatLinMod(disp, Brain + Age + Group,avsurf); slm = SurfStatT(slm, group); >pvalue = [0.001 0.005 0.01 0.050.1] >threshold=randomfield_threshold(slm, pvalue) pvalue = 0.0010 0.0050 0.0100 0.0500 0.1000 threshold = 6.8058 6.2154 5.9564 5.3398 5.0635 Corrected P-value thresholding using the random field theory

  10. Significance of group difference controlling for Brain size and Age Left Right front back 3.7 middle left right middle Max T = 3.7970 Random field thresholding at 0.05 level = 5.3398 Max T = 3.6687 Random field thresholding at 0.05 level = 5.3200 0 T-stat.

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